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Determination of an input variable of a vehicle actuator using model-based predictive control

机译:使用基于模型的预测控制确定车辆执行器的输入变量

摘要

The invention relates to the determination of an input variable of a vehicle actuator by means of model-based predictive control. According to one aspect of the invention, a processor unit is set up to use an interface to access trajectory information (P) and a status data set (17) which shows an environmental status of the vehicle and / or a status of the vehicle and / or a driving status of the vehicle. The processor unit executes a secondary condition algorithm (14) for calculating a secondary condition (18) and an MPC algorithm (15) for model-based predictive control. By executing the secondary item algorithm (14), a secondary condition (18) for the MPC algorithm (15) is determined as a function of the trajectory information (P) and as a function of the status data record (17). By executing the MPC algorithm (15), an input variable (19) for an actuator of the vehicle is determined as a function of the secondary condition (18). This takes place in particular in such a way that the vehicle follows the predefined trajectory with a predefined certainty in a future predicted trajectory.
机译:本发明涉及通过基于模型的预测控制来确定车辆致动器的输入变量。根据本发明的一个方面,处理器单元被设置为使用接口来访问轨迹信息(P)和状态数据集(17),该状态数据集示出了车辆的环境状态和/或车辆的状态。 /或车辆的行驶状态。处理器单元执行用于计算次级条件(18)的次级条件算法(14)和用于基于模型的预测控制的MPC算法(15)。通过执行次级项目算法(14),根据轨迹信息(P)和状态数据记录(17)确定用于MPC算法(15)的次级条件(18)。通过执行MPC算法(15),根据次要条件(18)确定用于车辆的致动器的输入变量(19)。这尤其以这样的方式进行,使得车辆在未来的预测轨迹中以预定的确定性遵循预定的轨迹。

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